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Miscellaneous

Airsoft Gun RGB Object tracking Robot with wireless Control

Uploaded on Feb 20, 2010

This Robot using image processing to track RGB color object. Detect motion position with compare the value from user that made on joystick for sending command to control the robot via Zigbee device. On the Robot side using 3 AVR microcontrollers to receive command and controlling 2 axes by using PID algorithm to correct the positions of robot arm that mount with M4 Model Airsoft Gun. The microcontrollers also control movement of the robot track wheels gun fire command, On/Off laser sight, flashlight and swapping the video cameras.

SwRI® is developing low-cost technologies that provide autonomy solutions for existing military vehicles to support warfighters in field operations. These technologies can also be adapted for active safety systems.

Mobility Across the Autonomy Spectrum in Unmanned Ground Vehicles.
Special Lecture Series: 21st ARC Annual Program Review
Unmanned ground vehicles (UGVs) of all sizes are invaluable assets for the Army. The Army has used more than 7,000 ground robots to date to secure the battlefield and autonomy-enabled systems are a key element of TARDEC’s 30-year strategy. UGVs also have significant commercial potential. Ground robots can already help with performing tasks ranging from cleaning floors to handling warehouse materials, and the race for developing and deploying self-driving cars is heating up.
When it comes to the level of autonomy of UGVs, there is a whole spectrum ranging from teleoperated vehicles with no autonomy to fully autonomous vehicles that rely on on-board sensors and controllers only. Every level of autonomy has its own advantages and challenges in terms of mobility, and understanding and improving each level’s mobility capabilities is crucial for the successful design and appropriate selection of UGV operating modes.
This case study will highlight ongoing collaborative efforts in the ARC between academia, TARDEC, and industry to understand and push the boundaries of level-of-autonomy versus mobility trade-offs. Three vehicle platforms (Superdroid, mini Baja, and HMMWV) will be considered along with three modes of operation (teleoperation, shared control, and full autonomy). Efforts that will be highlighted include (i) robust compensation of delays in teleoperation; (ii) increasing the haptic scene analysis capability of human operators in shared control mode; (iii) identifying the best strategies to reconcile human and controller inputs in shared control; (iv) full autonomy in unstructured environments without a priori information; (v) cognitive modeling of human operators; and (vi) the role of model fidelity in simulation based evaluations of UGV technologies.